{"id":25311656,"url":"https://github.com/rogeriols/eml-4.1-processamento-em-cloud","last_synced_at":"2025-04-07T12:20:06.378Z","repository":{"id":251139935,"uuid":"836481669","full_name":"RogerioLS/EML-4.1-Processamento-em-cloud","owner":"RogerioLS","description":null,"archived":false,"fork":false,"pushed_at":"2024-08-01T02:49:00.000Z","size":205,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-13T14:53:34.173Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/RogerioLS.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-01T00:17:33.000Z","updated_at":"2024-08-01T02:49:03.000Z","dependencies_parsed_at":null,"dependency_job_id":"7fe0504b-496a-48cc-ac72-12375758c7bf","html_url":"https://github.com/RogerioLS/EML-4.1-Processamento-em-cloud","commit_stats":null,"previous_names":["rogeriols/eml-4.1-processamento-em-cloud"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RogerioLS%2FEML-4.1-Processamento-em-cloud","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RogerioLS%2FEML-4.1-Processamento-em-cloud/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RogerioLS%2FEML-4.1-Processamento-em-cloud/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RogerioLS%2FEML-4.1-Processamento-em-cloud/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RogerioLS","download_url":"https://codeload.github.com/RogerioLS/EML-4.1-Processamento-em-cloud/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247648974,"owners_count":20972945,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-02-13T14:53:35.513Z","updated_at":"2025-04-07T12:20:06.335Z","avatar_url":"https://github.com/RogerioLS.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MBA ITI UFSCar - Atividade\nMaterial de apoio para o módulo de Cloud Computing do MBA de ML\n\n## Atividade\n\n- Desenvolver na sua conta AWS um pipeline de Extração, Transformação e Carregamento de Dados\n- Depois de configurar os serviços, a ingestão do arquivo deverá ser feita manualmente para o serviço de Storage, a partir desse ponto todos os eventos deverão ser iniciados automaticamente\n- No banco de dados final deverá conter os dados originais do arquivo\n- API original encontra-se no repositório do Github:pokemon_data.json\n- Arquivo com script sql para gerar tabela para salvar os dados: pokemon_database.sql\n\n## Passo-a-passo\n- Criar instância no RDS\n  - Instalar DBeaver ou similar\n  - Configurar segurança da instância para receber conexões públicas.\n- Criar dois buckets no S3\n- Desenvolver lambda com trigger de S3 para leitura do arquivo original e criação do arquivo csv\n- Desenvolver lambda com trigger de S3 para leitura do arquivo csv e envio de mensagem para o SQS\n- Desenvolver lambda com trigger de SQS para salvar dados no RDS\n\n## Links para Lambda Layers (Python 3.9)\n- PyMySQL : https://drive.google.com/file/d/1bBJANtI_Tj0_CGcwGeZWT0giipHKSEXB/view?usp=sharing\n\n## Links de Referência\n- DBeaver (DB Client): https://dbeaver.io/download/ \n- Kaggle: https://www.kaggle.com/ \n- Dataset Pokemon: https://pokeapi.co/api/v2/pokemon/1/\n- Lambda Layer: https://towardsdatascience.com/how-to-install-python-packages-for-aws-lambda-layer-74e193c76a91\n\n\n## Log Create, S3 and SQS Permissions\n```\n{\n    \"Statement\": [\n        {\n            \"Action\": [\n                \"logs:CreateLogGroup\",\n                \"logs:CreateLogStream\",\n                \"logs:PutLogEvents\"\n            ],\n            \"Effect\": \"Allow\",\n            \"Resource\": \"arn:aws:logs:*:*:*\"\n        },\n\t\t{\n\t\t\t\"Action\": [\n\t\t\t\t\"s3:GetObject\"\n\t\t\t],\n\t\t\t\"Effect\": \"Allow\",\n\t\t\t\"Resource\": \"arn:aws:s3:::*\"\n\t\t},\n\t\t{\n\t\t\t\"Action\": [\n\t\t\t\t\"s3:PutObject\"\n\t\t\t],\n\t\t\t\"Effect\": \"Allow\",\n\t\t\t\"Resource\": \"arn:aws:s3:::\u003cmy-bucket\u003e/*\"\n\t\t},\n\t\t{\n            \"Action\": [\n                \"sqs:SendMessage\"\n            ],\n            \"Effect\": \"Allow\",\n            \"Resource\": \"arn:aws:sqs:\u003cmy-queue-arn\u003e\"\n        },\n        {\n            \"Action\": [\n                \"sqs:ReceiveMessage\"\n            ],\n            \"Effect\": \"Allow\",\n            \"Resource\": \"arn:aws:sqs:\u003cmy-queue-arn\u003e\"\n        }\n    ]\n}\n```\n\n![alt text](image.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frogeriols%2Feml-4.1-processamento-em-cloud","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frogeriols%2Feml-4.1-processamento-em-cloud","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frogeriols%2Feml-4.1-processamento-em-cloud/lists"}